Data Warehousing and Knowledge Discovery

15th International Conference, DaWaK 2013, Prague, Czech Republic, August 26-29, 2013. Proceedings

Editors:

ISBN: 978-3-642-40130-5 (Print) 978-3-642-40131-2 (Online)

Table of contents (32 chapters)

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  1. Front Matter

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  2. Modeling and ETL

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      Pages 1-12

      An Analytics-Aware Conceptual Model for Evolving Graphs

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      Pages 13-25

      Declarative Expression and Optimization of Data-Intensive Flows

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      Pages 26-33

      Tabular Web Data: Schema Discovery and Integration

  3. Query Optimization and Parallelism

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      Pages 34-45

      Uncoupled MapReduce: A Balanced and Efficient Data Transfer Model

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      Pages 46-59

      Efficient Evaluation of Ad-Hoc Range Aggregates

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      Pages 60-71

      SPIN: Concurrent Workload Scaling over Data Warehouses

  4. Spatial Data Warehouses and Applications

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      Pages 72-83

      Lily: A Geo-Enhanced Library for Location Intelligence

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      Pages 84-96

      Discovering Co-location Patterns in Datasets with Extended Spatial Objects

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      Pages 97-109

      SOLAP4epidemiologist: A Spatial Data Warehousing Application in Epidemiology Domain

  5. Text Mining and OLAP

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      Pages 110-121

      Document Difficulty Framework for Semi-automatic Text Classification

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      Pages 122-133

      Knowledge-Free Table Summarization

  6. Recommendation and Prediction

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      Pages 134-145

      Predicting Your Next OLAP Query Based on Recent Analytical Sessions

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      Pages 146-158

      Where Will You Go? Mobile Data Mining for Next Place Prediction

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      Pages 159-171

      An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions

  7. Data Mining Optimization and Machine Learning Techniques

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      Pages 172-183

      Supervised Dimensionality Reduction via Nonlinear Target Estimation

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      Pages 184-195

      Concurrent Execution of Data Mining Queries for Spatial Collocation Pattern Discovery

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      Pages 196-208

      Depth-First Traversal over a Mirrored Space for Non-redundant Discriminative Itemsets

  8. Mining and Processing Data Stream

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      Pages 209-221

      Stream Mining of Frequent Patterns from Delayed Batches of Uncertain Data

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      Pages 222-235

      Fast Causal Network Inference over Event Streams

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      Pages 236-247

      SSCJ: A Semi-Stream Cache Join Using a Front-Stage Cache Module

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